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Computer Science > Programming Languages

arXiv:2411.11469 (cs)
[Submitted on 18 Nov 2024]

Title:Deegen: A JIT-Capable VM Generator for Dynamic Languages

Authors:Haoran Xu, Fredrik Kjolstad
View a PDF of the paper titled Deegen: A JIT-Capable VM Generator for
Dynamic Languages, by Haoran Xu and 1 other authors
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    Abstract:Building a high-performance JIT-capable VM for a dynamic
    language has traditionally required a tremendous amount of time,
    money, and expertise. We present Deegen, a meta-compiler that
    allows users to generate a high-performance JIT-capable VM for
    their own language at an engineering cost similar to writing a
    simple interpreter. Deegen takes in the execution semantics of
    the bytecodes implemented as C++ functions, and automatically
    generates a two-tier VM execution engine with a state-of-the-art
    interpreter, a state-of-the-art baseline JIT, and the
    tier-switching logic that connects them into a self-adaptive
    system.
    We are the first to demonstrate the automatic generation of a JIT
    compiler, and the automatic generation of an interpreter that
    outperforms the state of the art. Our performance comes from a
    long list of optimizations supported by Deegen, including
    bytecode specialization and quickening, register pinning, tag
    register optimization, call inline caching, generic inline
    caching, JIT polymorphic IC, JIT IC inline slab, type-check
    removal and strength reduction, type-based slow-path extraction
    and outlining, JIT hot-cold code splitting, and JIT OSR-entry.
    These optimizations are either employed automatically, or guided
    by the language implementer through intuitive APIs. As a result,
    the disassembly of the Deegen-generated interpreter, baseline
    JIT, and the generated JIT code rivals the assembly code
    hand-written by experts in state-of-the-art VMs.
    We implement LuaJIT Remake (LJR), a standard-compliant Lua 5.1
    VM, using Deegen. Across 44 benchmarks, LJR's interpreter is on
    average 179% faster than the official PUC Lua interpreter, and
    31% faster than LuaJIT's interpreter. LJR's baseline JIT has
    negligible startup delay, and its execution performance is on
    average 360% faster than PUC Lua and only 33% slower (but faster
    on 13/44 benchmarks) than LuaJIT's optimizing JIT.

Subjects: Programming Languages (cs.PL)
Cite as:  arXiv:2411.11469 [cs.PL]
          (or arXiv:2411.11469v1 [cs.PL] for this version)
          https://doi.org/10.48550/arXiv.2411.11469
          Focus to learn more
          arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Haoran Xu [view email]
[v1] Mon, 18 Nov 2024 11:12:57 UTC (1,168 KB)
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